Jie Xiong

Enhancing defect detection model with frequency dynamic convolution and attention mechanism for LPBF additive manufacturing

Laser Powder Bed Fusion (LPBF) often produces defects such as overlap, spatter, and fusion anomalies, which seriously affect part quality. Real-time in-situ defect detection remains difficult due to low contrast, multi-scale defects, and complex backgrounds. This paper proposes an improved YOLOv11-based detection model...